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Why government agencies need structural modernisation before AI adoption

An article about why government agencies need structural modernisation before AI adoption

Lenka Filipovicova 27 July 2026 · 1 min read

AI is creating new possibilities across the public sector, but many government agencies are still trying to build on foundations that were never designed for the speed, scale or complexity of modern AI.

This article explores why successful adoption depends on more than the technology itself. It argues that real progress comes from structural modernisation: improving legacy systems, strengthening data and governance practices, and creating the delivery capabilities needed to use AI safely and effectively.

It’s a valuable read for leaders shaping government transformation, because it brings the AI conversation back to what matters most: building the conditions for trust, resilience and meaningful impact.

Read the whole article here.

Published by

Lenka Filipovicova Field Marketer / Senior Associate, Thoughtworks

About our partner

Thoughtworks

We partner with public sector organisations to deliver secure, resilient and adaptable digital platforms that strengthen service delivery and operational performance. As expectations for accessible, seamless services rise and fiscal pressures increase, we help leaders move beyond one-off transformation programmes to build technology foundations that enable policy objectives and improve outcomes for citizens and communities.Our teams bring together policy insight, service design and modern engineering practices to deliver measurable public value. We modernise legacy estates without disrupting live operations, uplift internal digital capability and embed responsible AI in ways that enhance governance, transparency and public trust.Thoughtworks combines global expertise with local delivery experience, working alongside public institutions to deliver sustainable, citizen-centred outcomes. Learn more at https://www.thoughtworks.com/clients/public-sector

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